Engagement · Compliant AI

AI adoption that stays inside your CUI boundary.

Every contractor is under pressure to adopt AI, and most routes to it (commercial endpoints, unlabeled data, opaque pipelines) create the exposure a compliance program exists to prevent. We design AI inside the boundary instead, and it generates evidence as it runs.

  1. Evidence as a design outputMapped to NIST SP 800-171 objectives
  2. CUI-safe RAG and agent pipelinesNothing leaves the boundary
  3. Federal cloud nativeGCC High and Azure Government

What compliant-by-design means in practice

ARCHITECTURE

CUI-safe RAG and agent pipelines

Retrieval and generation are scoped to the CUI boundary. Purview labels are honored at ingestion, processing, and output, DLP is enforced at every hop, and nothing leaves the boundary for a commercial endpoint.

AUDITABILITY

Evidence as a design output

Access control, prompt and output logging, and decision traceability are packaged as artifacts mapped to NIST SP 800-171 Rev. 2 objectives, so the AI system adds to your assessment package.

PLATFORM

Federal cloud native

Deployed in GCC High and Azure Government with Defender monitoring and Intune-managed endpoints, on the same six security planes your compliance program already runs on.

RISK

Export control engineered in

Export exposure for models and technical data under ITAR (22 CFR Parts 120 to 130) and EAR (15 CFR Parts 730 to 774) is handled at design time through data residency, access controls, and alignment with the technology control plan.

Typical first projects

Seventh Pillar

Scope a compliant AI project.

Tell us the workflow you want AI on and the data it touches. We'll come back with a boundary-safe architecture sketch and a fixed-scope pilot proposal. Or email rj@indirectit.com directly.